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In coal mining industry, equipment safety and reliability during operation are essential in the production process. In recent years, along with the continuous improvement of intelligent coal mining equipment, reliable production requirements have simultaneously increased. Therefore, this article aims to study the maintenance decision making method...
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... lowest maintenance cost and reasonable maintenance decision making arrangement can be calculated through the iterative optimisation of the algorithm. The solution process is shown in Figure 3: -Import the basic data of the model in this paper, mainly including the number of fully mechanized mining equipment, the maintenance cost of different maintenance methods, the maintenance time of different maintenance methods, the law of performance decline of different equipment, and the maintenance thresholds of different maintenance methods. -Consider the opportunity maintenance strategy to determine whether the maintenance conditions are met (item repair threshold, safety inspection). ...
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... Agricultural engineering components (caterpillar tracks), railway (crossings, lap switches), structural (teeth, excavator bucket walls), in and crushing and grinding (jaws, crushers cones, mill bodies) are heavily loaded equipment components whose operating conditions have intense dynamic loads and abrasive wear. In the majority of cases these components are produced by casting from austenitic high-chromium steels, a clear example of which is grade 110G13L (Hadfield steel) [1,2]. ...
High-manganese austenitic Hadfield steel is the main material for manufacturing parts for mining, crushing, and grinding equipment. A key role in material property formation is played by chemical composition, the adjustment of which, with the introduction of alloying elements, may significantly improve operational performance. This article presents determination of steel 110G13L optimum chemical composition, while maintaining requirements for impact strength. Of particular interest is thorough analysis of data for a wide range of major elements: C from 0.9 to 1.3% and Mn from 11 to 16%. Mathematical statistics and forecasting tools are used for processing results, which makes it possible to accept with sufficient reliability analysis results for the Fe–1.1C–12.87Mn–0.6Si–0.4Cr system for subsequent research.
... For example, genetic algorithms for equipment reliability assessment were proposed in 2004 by Yuriy and Vayenas [4]. They were proven to be a valuable tool to evaluate the effect of component failures on a mine's development cycle [4] and as means to optimize cost reduction via opportunistic maintenance [5]. Additionally, a recent study showed how mines can make use of these technologies to conduct dynamic simulations that offer insightful decisionsupport [6]. ...
Preventive maintenance practices have been proven to reduce maintenance costs in many industries. In the mining industry, preventive maintenance is the main form of maintenance, especially for mobile equipment. With the increase of sensor data and the installation of wireless infrastructure within underground mines, predictive maintenance practices are beginning to be applied to the mining equipment maintenance process. However, for the transition from preventive to predictive maintenance to succeed, researchers must first understand the maintenance process implemented in mines. In this paper, we conducted interviews with 15 maintenance experts from 7 mining sites (6 gold, 1 diamond) across East-Canada to investigate the maintenance planning process currently implemented in Canadian mines. We documented experts’ feedback on the process, their expectations regarding the introduction of predictive maintenance in mining, and the usability of existing computerized maintenance management software (CMMS). From our results, we compiled a summary of actual maintenance practices and showed how they differ from theoretical practices. Finally, we list the Key Performance Indicators (KPIs) relevant for maintenance planning and user requirements to improve the usability of CMMS.
... Компоненты сельскохозяйственной техники (траки гусениц), железнодорожного (крестовины, сердечники стрелочных переводов), строительного (зубья, стенки ковшей экскаваторов), горнодобывающего и дробильно-размольного (щеки, конуса дробилок, корпуса мельниц) оборудования являются тяжелонагруженными деталями, условия работы которых характеризуются интенсивными динамическими нагрузками и абразивным износом. В большинстве случаев подобные детали изготавливаются методом литья из аустенитных высокомарганцевых сталей, ярким примером которых может служить марка 110Г13Л (сталь Гадфильда) [1,2]. ...
... © Arapov S.L. 1 High-manganese austenitic Hadfield steel is the main material for the manufacture of parts for mining, crushing and grinding equipment. A key role in the formation of material properties is played by its chemical composition, the adjustment of which, with the introduction of alloying elements, can significantly increase operational performance. ...
High-manganese austenitic Hadfield steel is the main material for the manufacture of parts for mining, crushing and grinding equipment. A key role in the formation of material properties is played by its chemical composition, the adjustment of which, with the introduction of alloying elements, can significantly increase operational performance. This paper presents a study to determine the optimal chemical composition of 110G13L steel, while maintaining the requirements for impact hardness. Of particular interest is the end-to-end data analysis of a wide range of major elements: C from 0.9 to 1.3% and Mn from 11 to 16%. To process the results, mathematical statistics and forecasting tools were used, which makes it possible to accept with sufficient reliability the results of the analysis of the Fe-1.1C-12.87Mn-0.6Si-0.4Cr system for further research.
Introduction: The technological development brought up by Industry 4.0 has wholly revolutionised the industrial sector, promptly opening doors to improving operational efficiency and occupational safety. Trying to understand where the extractive industry stands, this short review aimed to find evidence of the sector’s digital twin and digitalisation applications and their integration level. Methodology: The Preferred Reporting Items for Systematic reviews and MetaAnalyses (PRISMA) Statement was used as guidelines to conduct and report the research. Three multidisciplinary databases were selected (Scopus, Web of Science and Science Direct). The research combinations comprised “digital twin” and the varied expressions one might use for the mining sector. The selected works were qualitatively assessed regarding technical context, working methodology and main results. Results and discussion: From the initial 1,590 identified articles, only 23 were found eligible and included in this short review. The results show that occupational safety is not even on the list of priorities of the sector. However, it is indirectly addressed while trying to ensure operation optimisation. Conclusions: Though the results express the use of digital twins, it does not go beyond a digital model in most cases.
In large-scale public security equipment projects, long-term equipment operation often leads to equipment failures and other problems, so it is particularly important to choose the appropriate operation and maintenance (O&M) scheme based on the content of the equipment work orders. However, there are a variety of equipment models in the work orders; not only is the data complex, but also due to the long project cycle, there are often problems such as loss of content, which bring great challenges to the O&M work. This paper defines these problems as “3-No problems”: inconsistency, inaccuracy, and incompleteness. In this paper, an improved DIKWP model is proposed and combined with a random forest classifier to construct data graphs, information graphs, knowledge graphs, and wisdom graphs. Through the above model, the 3-No problem in equipment work orders can be solved, and the importance of each equipment model can be obtained. Eventually, combined with the purpose graph, the selection of models, the bid score calculation, and the selection of O&M schemes are carried out based on the obtained conclusion in a purpose-driven manner to achieve the evaluation of O&M efficiency and safety. Finally, an example is assumed to illustrate the application of the method in actual projects, which provides a certain reference value for the selection of an O&M scheme for large-scale equipment projects.
